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This thesis studies segmentation and categorization of highway road data, with the ambition that the understanding gained could be used for virtual verification of road scenarios for self-driving systems. We will look at a few approaches for segmentation of the road data, such as heuristics as well as methods involving optimization. The result of the segmentation is categorized and we then explore
